| Literature DB >> 31423155 |
Christoph C Raible1,2, Stefan Brönnimann1,3, Renate Auchmann1,3, Philip Brohan4, Thomas L Frölicher5, Hans-F Graf6, Phil Jones7,8, Jürg Luterbacher9,10, Stefan Muthers1,2, Raphael Neukom1,3, Alan Robock11, Stephen Self12, Adjat Sudrajat13, Claudia Timmreck14, Martin Wegmann1,3.
Abstract
The eruption of Tambora (Indonesia) in April 1815 had substantial effects on global climate and led to the 'Year Without a Summer' of 1816 in Europe and North America. Although a tragic event-tens of thousands of people lost their lives-the eruption also was an 'experiment of nature' from which science has learned until today. The aim of this study is to summarize our current understanding of the Tambora eruption and its effects on climate as expressed in early instrumental observations, climate proxies and geological evidence, climate reconstructions, and model simulations. Progress has been made with respect to our understanding of the eruption process and estimated amount of SO2 injected into the atmosphere, although large uncertainties still exist with respect to altitude and hemispheric distribution of Tambora aerosols. With respect to climate effects, the global and Northern Hemispheric cooling are well constrained by proxies whereas there is no strong signal in Southern Hemisphere proxies. Newly recovered early instrumental information for Western Europe and parts of North America, regions with particularly strong climate effects, allow Tambora's effect on the weather systems to be addressed. Climate models respond to prescribed Tambora-like forcing with a strengthening of the wintertime stratospheric polar vortex, global cooling and a slowdown of the water cycle, weakening of the summer monsoon circulations, a strengthening of the Atlantic Meridional Overturning Circulation, and a decrease of atmospheric CO2. Combining observations, climate proxies, and model simulations for the case of Tambora, a better understanding of climate processes has emerged. WIREs Clim Change 2016, 7:569-589. doi: 10.1002/wcc.407 This article is categorized under: 1Paleoclimates and Current Trends > Paleoclimate.Entities:
Year: 2016 PMID: 31423155 PMCID: PMC6686350 DOI: 10.1002/wcc.407
Source DB: PubMed Journal: Wiley Interdiscip Rev Clim Change ISSN: 1757-7780 Impact factor: 7.385
Figure 1Map of the Lombok–Sumbawa sector of the Sunda arc, Indonesia, showing the location of Tambora and Rinjani, the sites of the probably two largest eruptions of the last millennium. The map was generated using GeoMapApp©. (Reprinted with permission from Ref 145. Copyright 2015 John Wiley and Sons)
Figure 2The 7 × 6 km wide and more than 1‐km deep summit caldera of Tambora created by the 1815 eruption. The 1815 eruptive products form the top of the caldera wall, as seen in the foreground. On the floor of the caldera lie an ephemeral lake and a small cone from a post‐1815 eruption. Photo by Katie Preece. (Reprinted with permission from Ref 145. Copyright 2015 John Wiley and Sons)
Figure 3(Top): Sea‐level pressure (contour lines, in hPa) and anomalies (stippled lines; in hPa) for summer (June‐August) 1816 statistically reconstructed using station pressure series in combination with ship log book information from the northeastern North Atlantic (data from Küttel et al.40). (Middle): temperature anomalies (in °C) for summer 1816 statistically reconstructed using station temperature series only (data from Casty et al.32). (Bottom): precipitation (in % of the 1961–1990 average) for summer 1816 statistically reconstructed using station precipitation series only (data from Casty et al.32). Temperature and precipitation reconstructions in the outer margins of Europe and the Mediterranean are less certain due to the lack of meteorological station information for those areas. All anomalies are with respect to 1961–1990.
Figure 4Daily Central England temperatures for each day of the year for 1816 and 2014. Absolute temperatures are shown in blue and these can be compared with average values based on the 1961–1990 period. Apart from averages, the panels for the 2 years also show a number of percentile ranges (5/95) to illustrate how unusual some days are with respect to the distribution of individual days based on the 1961–1990 period.
Overview of Tambora modelling studies indicating the forcings used and peak temperature changes over global land areas. Estimates Indicated by ✣ Are Not Explicitly Given in the Cited Studies, But Have Been Calculated for This Publication
| Study | Aerosol/Forcing | Model | Ensemble Size | Peak | Duration |
|---|---|---|---|---|---|
| Tambora‐only sensitivity studies: | |||||
| Stenchikov et al. (2009) | 3× Pinatubo optical depth (Stenchikov et al., 1998) | GFDL CM2.1 | 10 | −1.2 ± 0.1 | 10 years |
| Zanchettin et al. (2013) | Crowley et al. (2008), | MPI‐ESM | 10 | −0.875 ± 0.15 | 8 years |
| Kandlbauer et al. (2013) | Crowley et al. (2008) | HadGEM2‐ES | 5 | −1.0 ± 0.1 | 10 years |
| Anet et al. (2014) | Arfeuille et al. (2014) | SOCOL‐MPIOM | 3 | −0.89 ± 0.35✣ | 6 years✣ |
| Muthers et al. (2014) | Arfeuille et al. (2014) | SOCOL‐MPIOM | 15 | −0.88 ± 0.16/ −0.80 ± 0.26✣ | 6–7 years✣ |
| Tambora in transient climate simulations driven only by volcanic forcing: | |||||
| Otto‐Bliesner et al. (2015) | Gao et al. (2008) | CESM‐CAM5 | 5 | −0.95 ± 0.12✣ | 6 years✣ |
| Schurer et al. (2013) | Crowley and Unterman (2013) | HadCM3 | 3 | −1.30 ± 0.05✣ | 7 years✣ |
| Tambora in transient climate simulations with all major external forcings: | |||||
| This study | see Table | PMIP3/CMIP5 multimodel mean (see Table | 11 | −1.05 ± 0.38 | 8 years |
Tambora anomalies for all transient simulations were calculated relative to the less perturbed period of 1770–1799. The PMIP3/CMIP5 multimodel estimates are based on a number of transient simulations for the last millennium (CCSM4 [1], GISS‐E2‐R [3], IPSL‐CM5A‐LR [1], MPI‐ESM‐P [1]) and an ensemble of pre‐CMIP3 simulations (COSMOS [5]). See Table 2 for the details.
Summary of the Past Millennium Simulations Used to Calculate the ‘PMIP3/CMIP5 Multimodel Estimate’ for Table 1
| Model | Runs | Volcanic Forcing | Reference |
|---|---|---|---|
| CCSM4 | 1 | Gao et al. (2008) | Landrum et al. (2013) |
| GISS‐E2‐R | 3 | Gao et al. (2008), | Schmidt et al. (2014) |
| IPSL‐CM5A‐LR | 1 | Ammann et al. (2007) | Dufresne et al. (2013) |
| MPI‐ESM‐P | 1 | Crowley and Unterman (2013) | Jungclaus et al. (2014) |
| COSMOS | 5 | Crowley et al. (2008) | Jungclaus et al. (2010) |
Figure 5Ensemble mean NH temperature anomalies in a number of transient simulations for the past millennium. See Table 1 for a description of the models and volcanic forcing. Anomalies were calculated relative to the period 1770–1799.
Figure 6Zonal mean column ozone changes [DU] by heterogeneous chemical reactions in an ensemble of atmosphere–ocean‐chemistry climate simulations for a 4× Pinatubo eruption in a present day (left) and preindustrial (right) atmosphere (modified from Muthers et al.103). Vertical dashed line indicates the beginning of the eruption. Significant anomalies with respect to an ensemble of control simulations are shown by stippling.
Figure 7Simulated global climate evolution of different variables in a 10 member ensemble of simulations including all natural and anthropogenic forcing (black), a 10 member ensemble with only volcanic forcing including the Tambora and the preceding 1808/1809 eruption (red), and a 10 member ensemble with only volcanic forcing without the 1808/1809 eruption (blue). The all forcing simulations are started in 1751 from initial conditions taken from the COSMOS‐Mil experiments,146 the volcanic forcing only from a control run for 800 AD conditions. Lines indicate means. Shading indicates one standard error of the mean. Green dashed lines are the 5th–95th percentile intervals for signal occurrence in the control run (see second section). The inner dotted lines are the 10th–90th percentile intervals. Magenta vertical lines indicate the occurrence of the 1808/1809 and Tambora and Cosiguina eruptions. Bottom rectangles indicate periods when there is a significant difference between an ensemble (color same as for time series) and the other two. Positive surface net radiative flux anomalies correspond to increased downward flux. The unit of the ocean heat transport is 1 TW = 1012 W. (Reprinted with permission from Ref 81. Copyright 2013 John Wiley and Sons)